{"id":"W7035843063","doi":"","title":"ARCHIVEIT-3490-TWELVE_HOURS-FHKNCU-20130203170041-00000-crawling113.us.archive.org-6680.warc.gz","year":2013,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009969567,0.0024831,0.001477476,0.008315692,0.002066979,0.0059386,0.002223852,0.001356308,0.81863],"category_scores_gemma":[0.006583164,0.001598715,0.001132475,0.01194017,0.000622807,0.00323411,0.003767063,0.001324919,0.9121406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002502915,"about_ca_system_score_gemma":0.002550781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08315191,"about_ca_topic_score_gemma":0.07252773,"domain_scores_codex":[0.9991496,0.00006311792,0.00005549861,0.0001606445,0.0004196134,0.0001515159],"domain_scores_gemma":[0.9949537,0.0005769574,0.0001661841,0.001321963,0.002347579,0.0006336308],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002415976,0.00001120742,0.0001787365,0.00009039503,0.000004056443,0.000008113292,0.00003378064,0.00003425797,0.00009820263,0.0002717011,0.9832026,0.0160428],"study_design_scores_gemma":[0.00002204543,0.000005209124,0.001309777,0.00006398676,0.000004120875,0.00001871589,0.00003852155,0.0001083352,0.0005987815,0.0003375205,0.9974754,0.00001743457],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0004261386,0.000219225,0.002081255,0.0003479404,0.0002558135,0.00014083,0.6632841,0.07962508,0.2536195],"genre_scores_gemma":[0.002340019,0.0004912754,0.003836183,0.0002623598,0.0001177225,0.000193322,0.6076943,0.05363256,0.3314322],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.18137,"threshold_uncertainty_score":0.2587022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00416211611229367,"score_gpt":0.1719149279083413,"score_spread":0.1677528117960477,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}